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Record W1987278392 · doi:10.1021/bm800571s

Effect of Extracellular Matrix Elements on the Transport of Paclitaxel through an Arterial Wall Tissue Mimic

2008· article· en· W1987278392 on OpenAlexaff
Rachael W. Sirianni, J. Kremer, İsmail Güler, Yen‐Lane Chen, Fred W. Keeley, W. Mark Saltzman

Bibliographic record

VenueBiomacromolecules · 2008
Typearticle
Languageen
FieldMedicine
TopicCancer Treatment and Pharmacology
Canadian institutionsHospital for Sick Children
Fundersnot available
KeywordsPaclitaxelExtracellular matrixArterial wallChemistryExtracellularMatrix (chemical analysis)BiophysicsBiochemistryBiologyMedicineChromatographyCardiologyGeneticsChemotherapy

Abstract

fetched live from OpenAlex

Paclitaxel (PTx) is reported to have an nonuniform steady-state concentration profile in the arterial wall. We utilized epifluorescence microscopy to make precise measurements of fluorescently-labeled PTx (F-PTx) distribution through an in vitro tissue mimic which contained varying concentrations of fibrin, elastin, soybean oil, palmitic acid, and solid glass beads. As little as 0.5 mg/mL of elastin in agarose produced a 50% drop in the measured diffusion coefficient, while as much as 10 mg/mL of fibrin in agarose was required for the same reduction in rate of transport. Because no reduction in the measured diffusion coefficient was observed for solubilized, extracted elastin or unassembled elastin-like polypeptides, the effect was specific to elastic fibers that closely resembled the native elastin network. Collectively, this work identifies a potential source for the high degree of partitioning observed for PTx in native tissue and further develops an in vitro technique for exploring complex tissue-drug interactions.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

How this classification was reachedexpand

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.013
Threshold uncertainty score0.504

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.024
GPT teacher head0.340
Teacher spread0.316 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it

Classification

machine, unvalidated

Machine predicted; a candidate call from one teacher head, not a consensus.

The models applied no category: nothing in the taxonomy fit this work.
Study designBench or experimental
Domainnot available
GenreEmpirical

How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".

Quick stats

Citations30
Published2008
Admission routes1
Has abstractyes

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